Bank Scorecard, Full Composite

About this dataset

Bank Scorecard, Full Composite is a Free dataset in the Banks group of the BankRegReports Data API. The response carries 21 documented fields, sourced from BRR derived (CAMELS quartile grading over FFIEC Call Report).

Composite companion to /banks/{rssd_id}/scorecard/. Returns CAMELS category metrics with the financial strength score (score_v2) and its grade (composite_grade) and component scores and grades, asset-size tier peer medians, loan-concentration context, and best-effort ML risk tier. overall_score is the v1 health score: deprecated, kept for one release (to 2026-12-31). Dollar fields are in thousands of US dollars.

Endpoint

GET /api/v1/banks/{rssd_id}/scorecard/composite/

Parameters

Name	Required	Description
rssd_id	required	Federal Reserve RSSD id. e.g. 852218

Response fields

Field	Type	Description
bank	object
composite_grade	string
composite_method	string
graded_components	array of string
ungraded_components	array of string
overall_score	number (double), nullable	Deprecated: the v1 health score, kept for one release (to 2026-12-31) and then removed. Read score_v2, the bank's financial strength score.
score_v2	number (double), nullable	Financial strength score, 0 to 100 (score v2).
score_report_date	string (date), nullable
score_method_version	string, nullable
score_national_rank	integer, nullable
score_national_n	integer, nullable
score_note	string
score_status	string
grades	object
concentration	object
peer_count	integer
peer_tier	string, nullable
peer_report_date	string (date), nullable
peer_basis	string
low_peer_comparability	boolean
ml	object, nullable

Example request

curl "https://api.bankregreports.com/api/v1/banks/852218/scorecard/composite/" \
  -H "Authorization: Bearer $BANKREG_API_TOKEN"

Responses are JSON in a {"data": ..., "meta": {...}} envelope. Get a token on the setup page.

Example response shape

A successful call returns HTTP 200 with a JSON body. Each row in data carries the fields below, shown with their documented types rather than sample values.

{
  "data": [
    {
      "bank": "object",
      "composite_grade": "string",
      "composite_method": "string",
      "graded_components": "array of string",
      "ungraded_components": "array of string",
      "overall_score": "number (double)",
      "score_v2": "number (double)",
      "score_report_date": "string (date)"
      ... 13 more fields
    }
  ],
  "meta": { ... }
}

When to use it

Bank Scorecard, Full Composite sits in the Banks group of the Data API. Reach for it when your work needs this data straight from the API: it comes back as JSON you can load into a notebook, a spreadsheet or a scheduled pipeline, with the dataset key scorecard_composite naming it the same way in the REST path, the Python SDK and the OpenAPI document.

Access and authentication

This dataset is in the Free tier. Send your API token in the Authorization header as a Bearer token, using a GET request to the endpoint above. The Free plan is the first plan that includes it. Check the plan comparison for request limits, and the data update schedule for when new filings reach the API.

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• Bank Trends: Quarterly time series of key metrics for one bank.
• HMDA Mortgage-Lending Book: Per-bank Home Mortgage Disclosure Act book - applications, originations, denials, and USD volumes by activity year and state.

Keep going

Browse every dataset, follow the setup walkthrough to make a first call, use the Excel add-in for formulas, or connect an assistant through the MCP server.

Python SDK

Install with pip install bankregreports and set BANKREG_API_TOKEN to your key.

import bankregreports

brr = bankregreports.BankReg()  # reads BANKREG_API_TOKEN
rssd_id = 852218  # JPMorgan Chase Bank, N.A.
result = brr.dataset("scorecard_composite", rssd_id=rssd_id)